Amazon OpenSearch Ingestion
Serverless Data Prepper pipeline that filters and streams data into OpenSearch.
- Provider
- aws
- Kind
- Stream processor
- Category
- Messaging
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| checkpointIntervalSeconds | integer | — | no | — | inherited |
| deadLetterQueue | boolean | — | no | false | inherited |
| exactlyOnce | boolean | — | no | false | ▸ false |
| instances | integer | — | no | — | inherited |
| lateDataPolicy | enum | drop | shift | sideline | no | — | inherited |
| logPublishing | boolean | — | no | false | inherited |
| managed | boolean | — | no | false | ▸ true |
| persistentBuffering | boolean | — | no | false | inherited |
| stateBackend | enum | memory | rocksdb | external | no | memory | ▸ memory |
| watermarkSeconds | integer | — | no | — | inherited |
| windowing | enum | none | event-time | processing-time | no | none | ▸ none |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
windowed-aggregation-without-watermark
Event-time windows need a watermark to know when a window is complete. Without one the processor either waits forever or closes windows early and silently drops late events.
- — all of these hold:
- — the node's `windowing` is "event-time"
- — the node's `watermarkSeconds` has no value
nodes:
- { id: "opensearch-ingestion", component: "aws-opensearch-ingestion" }Realtime Compute for Apache Flinkalibaba-flinkAmazon EventBridge Pipesaws-eventbridge-pipesAmazon Data Firehoseaws-firehoseAmazon Managed Service for Apache Flinkaws-managed-flinkAzure Stream Analyticsazure-stream-analyticsCloudflare Logpushcloudflare-logpushCloudflare Pipelinescloudflare-pipelinesArroyoarroyoApache BeambeamBytewaxbytewaxDrasidrasiApache FlinkflinkKafka Streamskafka-streamsksqlDBksqldbLogstashlogstashMaterializematerializeApache NiFinifiNorikranorikraRedpanda Connectredpanda-connectRisingWaverisingwaveApache SamzasamzaSnowplowsnowplowSpark Structured Streamingspark-streamingApache StormstormGeneric stream processorstream-processorTremortremorGoogle Cloud Dataflowgoogle-dataflowManufacturing Data Enginegoogle-manufacturing-data-engineActivity Tracker Event Routingibm-activity-tracker-event-routingIBM Cloud Logs Routingibm-logs-routingIBM Cloud Metrics Routingibm-metrics-routingOCI Connector Huboci-connector-hubOCI GoldenGate Stream Analyticsoci-goldengate-stream-analytics
# yaml-language-server: $schema=../../schema/component.schema.json # Amazon OpenSearch Ingestion pipeline: "a fully managed, serverless data collector" running Data Prepper that # streams logs, metrics and traces into an OpenSearch Service sink and "automatically scales your pipelines based # on capacity limits that you define" ("Overview of Amazon OpenSearch Ingestion"). A pipeline buffers in memory # unless persistent buffering is enabled, and the dead-letter queue and CloudWatch log publishing are configured # explicitly ("Creating Amazon OpenSearch Ingestion pipelines"). schemaVersion: "1" type: "component" id: "aws-opensearch-ingestion" kind: "stream-processor" provider: "aws" docs: "https://docs.aws.amazon.com/opensearch-service/latest/developerguide/creating-pipeline.html" defaults: managed: true windowing: "none" stateBackend: "memory" exactlyOnce: false properties: persistentBuffering: type: "boolean" default: false deadLetterQueue: type: "boolean" default: false logPublishing: type: "boolean" default: false